Datatech Analytics

Datatech is part of the highly successful ‘Evergreen Group’, where we recognise the value in lasting relationships based on shared opportunity and trust. Our Aim is to identify, qualify and deliver talented professionals for our clients, whilst enhancing the careers of those we place.

Datatech Analytics are recognised as an industry brand chosen by clients and candidates for our professionalism and commitment to delivery. Offering a variety of bespoke recruitment solutions for analytical professionals. Datatech Analytics have accumulated an impressive client bank including many highly reputable and well-known companies.

This is a newly created role to take control of this company’s huge amount of trading data and use it to identify opportunities and issues daily. This organisation is very fast growing within the ecommerce travel and leisure industry, and attribute their remarkable success to highly data literate people across the business who use data and insight at the heart of their decision-making. If you want to be a key driver in future growth and can apply your analytical greatness with commercial understanding, then this is the role for you.
Role & Responsibilities
Liaise with all departments to ensure all trading signals are as expected and when not troubleshoot and inform the appropriate teams.
Support the senior management team with daily and weekly trading reports.
Identify merchandising opportunities
Create and maintain daily and weekly dashboards.
Deep dive into the data to spot trends and solve complex problems.
Always question the validity of data and to reconcile where appropriate.
Monitor how the business is trading
Experience & Skills Required
Educated to degree level in a relevant discipline.
Zeveral years’ experience with analytics and reporting in an e-commerce environment.
Be able to balance workload and self-prioritise.
Confidently use data & insight to identify opportunities.
Possess advanced analytical skills i.e. Microsoft Excel, SQL server and Tableau
Adopt a collaborative approach.
Be a great communicator with the ability to converse at all levels in the business.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

31/12/2018

Full time

This is a newly created role to take control of this company’s huge amount of trading data and use it to identify opportunities and issues daily. This organisation is very fast growing within the ecommerce travel and leisure industry, and attribute their remarkable success to highly data literate people across the business who use data and insight at the heart of their decision-making. If you want to be a key driver in future growth and can apply your analytical greatness with commercial understanding, then this is the role for you.
Role & Responsibilities
Liaise with all departments to ensure all trading signals are as expected and when not troubleshoot and inform the appropriate teams.
Support the senior management team with daily and weekly trading reports.
Identify merchandising opportunities
Create and maintain daily and weekly dashboards.
Deep dive into the data to spot trends and solve complex problems.
Always question the validity of data and to reconcile where appropriate.
Monitor how the business is trading
Experience & Skills Required
Educated to degree level in a relevant discipline.
Zeveral years’ experience with analytics and reporting in an e-commerce environment.
Be able to balance workload and self-prioritise.
Confidently use data & insight to identify opportunities.
Possess advanced analytical skills i.e. Microsoft Excel, SQL server and Tableau
Adopt a collaborative approach.
Be a great communicator with the ability to converse at all levels in the business.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This employer provides predictive marketing services that help organisations grow sales. Their data-driven marketing campaigns have excited, thrilled and, most importantly, won big business for clients over the years. Come and join these analytical data boffins by taking the first step and sending in your CV to Roisin
Role and Responsibilities
Build datasets from a wide range of different sources
Create a single unified database environment.
Build and develop multi-tiered matching scripts to match data
Build statistical models and apply machine learning techniques
Build customer propensity for more targeted marketing strategies.
Extract insights from real data by applying statistical techniques and machine learning algorithms
Comfortable with working in an agile and lean technology
Prepared to adapt to the unique challenges of working in a small business that is rapidly growing, and where the strategy, systems and processes are changing and evolving.
Qualifications, Experience & Skills Required
Strong numerical and mathematical background, ideally in statistics.
Experience of statistical modelling coupled with data science and analytics work experience
Proven ability to build audience segments using regression and clustering techniques Knowledge of and passion for different analysis techniques such as regression and clustering,
Demonstrate previous data analysis work that they have carried out
Capable of exploring data and analytical methods independently
Good experience with R and Python
Good understanding of building customer behaviour propensity models using a wide range of data sets
Working knowledge of MongoDB a clear advantage
If you fit the above job description please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

31/12/2018

Full time

This employer provides predictive marketing services that help organisations grow sales. Their data-driven marketing campaigns have excited, thrilled and, most importantly, won big business for clients over the years. Come and join these analytical data boffins by taking the first step and sending in your CV to Roisin
Role and Responsibilities
Build datasets from a wide range of different sources
Create a single unified database environment.
Build and develop multi-tiered matching scripts to match data
Build statistical models and apply machine learning techniques
Build customer propensity for more targeted marketing strategies.
Extract insights from real data by applying statistical techniques and machine learning algorithms
Comfortable with working in an agile and lean technology
Prepared to adapt to the unique challenges of working in a small business that is rapidly growing, and where the strategy, systems and processes are changing and evolving.
Qualifications, Experience & Skills Required
Strong numerical and mathematical background, ideally in statistics.
Experience of statistical modelling coupled with data science and analytics work experience
Proven ability to build audience segments using regression and clustering techniques Knowledge of and passion for different analysis techniques such as regression and clustering,
Demonstrate previous data analysis work that they have carried out
Capable of exploring data and analytical methods independently
Good experience with R and Python
Good understanding of building customer behaviour propensity models using a wide range of data sets
Working knowledge of MongoDB a clear advantage
If you fit the above job description please contact Roisin McCarthy on 01256 314 660 or email her on rmccarthy@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This senior role involves working within an existing team of Data Scientists demonstrating direct experience in proposition development and commercial exploitation of data, good working knowledge of SQL, Python and data base administration. These vital skills are required by an international organisation working across the public and private sectors, solving the complex challenges of their clients.
Role & Responsibilities
Implement complex multi/hybrid cloud based big data projects.
Collect, manage, analyse and visualizing large sets of data to turn information into insights.
Be passionate about working with cutting edge technologies.
Develop prototypes using different open source tools for selected solutions.
Help lead end-to-end execution of data engineering initiatives.
Work with other teams to decide on needed infrastructure architecture and software design.
Lead the design, implementation, and continuous delivery of pipelines
Support data processing initiatives across batch and streaming datasets.
Responsible for development using Scala, Python languages and Big Data Frameworks
Identify, evaluate and implement cutting edge big data pipelines
Deliver data engineering solutions to optimize both the cost and existing solution
Experience & Skills Required.
Educated to Bachelor's Degree or higher in Computer Sciences or similar
Have extensive Software Industry experience
Have hands-on knowledge of all phases in building large-scale cloud based distributed data processing systems and applications.
Be able to understand how a secure big data cloud environment is architected to gain real insights faster.
Be comfortable with Apache Spark and NoSQL Implementation.
Extensive working knowledge in different programming or scripting languages like Scala, Java, Linux, Shell, SQL, Python.
Knowledge on Visualization and Data Science Tools advantageous.
If you fit the above job description, please contact Olivia Ross on 01256 314 660 or email her on oross@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

29/12/2018

Full time

This senior role involves working within an existing team of Data Scientists demonstrating direct experience in proposition development and commercial exploitation of data, good working knowledge of SQL, Python and data base administration. These vital skills are required by an international organisation working across the public and private sectors, solving the complex challenges of their clients.
Role & Responsibilities
Implement complex multi/hybrid cloud based big data projects.
Collect, manage, analyse and visualizing large sets of data to turn information into insights.
Be passionate about working with cutting edge technologies.
Develop prototypes using different open source tools for selected solutions.
Help lead end-to-end execution of data engineering initiatives.
Work with other teams to decide on needed infrastructure architecture and software design.
Lead the design, implementation, and continuous delivery of pipelines
Support data processing initiatives across batch and streaming datasets.
Responsible for development using Scala, Python languages and Big Data Frameworks
Identify, evaluate and implement cutting edge big data pipelines
Deliver data engineering solutions to optimize both the cost and existing solution
Experience & Skills Required.
Educated to Bachelor's Degree or higher in Computer Sciences or similar
Have extensive Software Industry experience
Have hands-on knowledge of all phases in building large-scale cloud based distributed data processing systems and applications.
Be able to understand how a secure big data cloud environment is architected to gain real insights faster.
Be comfortable with Apache Spark and NoSQL Implementation.
Extensive working knowledge in different programming or scripting languages like Scala, Java, Linux, Shell, SQL, Python.
Knowledge on Visualization and Data Science Tools advantageous.
If you fit the above job description, please contact Olivia Ross on 01256 314 660 or email her on oross@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

We are looking for an analytical, highly motivated energetic self-starter to join our client’s fast growing direct to customer life insurance distribution business. As a BI Senior Analyst, you will build strong stakeholders relationships whilst developing advanced analytical solutions.
Analytics and data is one of their major areas planned for future investment and focus, that’s why they are looking for an excellent data professional like you to help them on their journey to become a truly data centric business.
You will be expected to support & encourage the development of other members of the team. Having the desire to work collaboratively across all business areas is essential. It is important you feel confident presenting your thoughts and opinions to senior stakeholders and are ready to work across the business to create end-to-end improvements in performance
Role & Responsibilities:
Leadership & Collaboration working across all areas of the business to identify and help implement improvements
Develop & implement reporting mechanisms as required to make faster, better business decisions e.g. reports, dashboards. Standardising and productionising reporting wherever possible.
Optimisation & Experimentation: Drive continual optimisation within our marketing models, testing strategies and conversion funnels.
Thought leadership - Provide actionable insight and guidance from all reporting and analytics and drive through change to improve business performance.
Modelling: Build and implement advanced predictive models within the business, e.g. media buying, recommendation engines, churn models and behavioural segmentation
Experience & Skills Required:
Strong academic background – Minimum 2:1 degree in any numerical / computer science focused subject from red brick university
Strong oral and written presentation skills
Highly skilled in strategic problem solving especially in situations of high ambiguity
Proactive / self-starter
Ability to get into the detail and summarise the key message
Collaborative working style
To have proven working knowledge of the following: R, Python, Excel, PowerBI, Tableau, Google Analytics
Expertise in reporting & analytics e.g. building predictive models, dashboards and translating data into commercial insights
Experience in building Direct Mail propensity models / customer targeting
Proven track record deriving insights, recommendations and driving actions into the business
Ability to operate in both structured & unstructured data environments - including integration of own and 3rd party data sources
If you would like to apply, please contact Teresa Cheeseman, Managing Consultant on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

28/12/2018

Full time

We are looking for an analytical, highly motivated energetic self-starter to join our client’s fast growing direct to customer life insurance distribution business. As a BI Senior Analyst, you will build strong stakeholders relationships whilst developing advanced analytical solutions.
Analytics and data is one of their major areas planned for future investment and focus, that’s why they are looking for an excellent data professional like you to help them on their journey to become a truly data centric business.
You will be expected to support & encourage the development of other members of the team. Having the desire to work collaboratively across all business areas is essential. It is important you feel confident presenting your thoughts and opinions to senior stakeholders and are ready to work across the business to create end-to-end improvements in performance
Role & Responsibilities:
Leadership & Collaboration working across all areas of the business to identify and help implement improvements
Develop & implement reporting mechanisms as required to make faster, better business decisions e.g. reports, dashboards. Standardising and productionising reporting wherever possible.
Optimisation & Experimentation: Drive continual optimisation within our marketing models, testing strategies and conversion funnels.
Thought leadership - Provide actionable insight and guidance from all reporting and analytics and drive through change to improve business performance.
Modelling: Build and implement advanced predictive models within the business, e.g. media buying, recommendation engines, churn models and behavioural segmentation
Experience & Skills Required:
Strong academic background – Minimum 2:1 degree in any numerical / computer science focused subject from red brick university
Strong oral and written presentation skills
Highly skilled in strategic problem solving especially in situations of high ambiguity
Proactive / self-starter
Ability to get into the detail and summarise the key message
Collaborative working style
To have proven working knowledge of the following: R, Python, Excel, PowerBI, Tableau, Google Analytics
Expertise in reporting & analytics e.g. building predictive models, dashboards and translating data into commercial insights
Experience in building Direct Mail propensity models / customer targeting
Proven track record deriving insights, recommendations and driving actions into the business
Ability to operate in both structured & unstructured data environments - including integration of own and 3rd party data sources
If you would like to apply, please contact Teresa Cheeseman, Managing Consultant on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This is a very recognisable international brand in the leisure industry offering excitement and value to their very many loyal customer base. You will be responsible for the ownership, distribution and development of the reporting & Insight suite helping to drive the UK market growth.
Role & Responsibilities
Create business intelligence reports to assess the current performance and to understand business risks.
Design and conduct quantitative analysis of revenue drivers.
Identify segments and develops strategies to drive loyalty, improved retention and acquisition.
Continuously improves ‘best in class’ market and revenue insight.
Turning data into meaningful insight and make recommendations for enhancements in business operations
Develop and communicates revenue strategies.
Use statistical modelling to define optimal targets
Develop market optimisation & forecasting tools
Manage databases i.e. sourcing, scheduling, cleansing & automation.
Experience & Skills Required
Educated to Bachelor’s degree with qualifications in a related background such as Operational Research, Business Information Technology , Statistics, Computer Science or Mathematics
Several years’ experience and/or training in an analytic or quantitative discipline required.
Have Intermediate to Advanced SQL programming language alongside Tableau or Power BI
Advanced Excel skills essential.
R/ Python experience very desirable
Have strong understanding of statistics, such as statistical testing, regression, etc. preferred
Demonstrate an aptitude for problem solving and problem identification.
Confidently collect, analyse and interpret revenue performance data.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

26/12/2018

Full time

This is a very recognisable international brand in the leisure industry offering excitement and value to their very many loyal customer base. You will be responsible for the ownership, distribution and development of the reporting & Insight suite helping to drive the UK market growth.
Role & Responsibilities
Create business intelligence reports to assess the current performance and to understand business risks.
Design and conduct quantitative analysis of revenue drivers.
Identify segments and develops strategies to drive loyalty, improved retention and acquisition.
Continuously improves ‘best in class’ market and revenue insight.
Turning data into meaningful insight and make recommendations for enhancements in business operations
Develop and communicates revenue strategies.
Use statistical modelling to define optimal targets
Develop market optimisation & forecasting tools
Manage databases i.e. sourcing, scheduling, cleansing & automation.
Experience & Skills Required
Educated to Bachelor’s degree with qualifications in a related background such as Operational Research, Business Information Technology , Statistics, Computer Science or Mathematics
Several years’ experience and/or training in an analytic or quantitative discipline required.
Have Intermediate to Advanced SQL programming language alongside Tableau or Power BI
Advanced Excel skills essential.
R/ Python experience very desirable
Have strong understanding of statistics, such as statistical testing, regression, etc. preferred
Demonstrate an aptitude for problem solving and problem identification.
Confidently collect, analyse and interpret revenue performance data.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This financial house is again recruiting to assist this institution to address unforeseen challenges and new risk drivers, ensuring areas of engagement are utilised in the company’s risk management activities across various markets. The team’s output forms the information basis for strategic planning, model risk management and broader activities., which enables effective decision making to satisfy business needs and regulatory requirements
Role & Responsibilities
Support various analytical and highly quantitative projects.
Provide best-in-class Analytics solutions to the Regulatory Compliance (RC) function.
Monitor transactional activity and generate automated alerts for activities that may be unusual and non-compliant with regulatory requirements.
Design, deploy, monitor and maintain models in various scenarios for various market conduct surveillance activities
Support RC teams globally with analytical solutions.
Manage regulatory compliance.
Increase efficiency and operational effectiveness through models, scorecards and data attestation frameworks
Experience & Skills Required
Have a Post Graduate qualifications (PhD in Physics, Engineering, Applied Mathematics, Statistics, Econometrics, or any other relevant quantitative discipline);
Several years’ post-qualification experience in relevant Analytics field.
Knowledge and understanding of financial services advantageous.
Possess strong knowledge of Big Data stack such as Hadoop or Hortonworks, NoSQL (Elastic, MongoDB, HBase, Cassandra), Data ingestion tools (Flume, Kafka, Spark, Sqoop, Storm)
Demonstrate strong experience in any of the following: Matlab, Python, R with relevant ML libraries.
Sound knowledge of statistical and numerical techniques.
Project based business knowledge, and awareness of model risk governance;
Be able to develop solutions using various analytical techniques (specifically Machine Learning (ML).
Engage with various stakeholders within the wider function and provide technical (ML) leadership.
Gather business requirements from senior stakeholder and translate their business brief into technical solution design
Develop product backlog in consultation with senior data scientists
Design predictive analytics strategies and models.
Complete analysis as required
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

26/12/2018

Full time

This financial house is again recruiting to assist this institution to address unforeseen challenges and new risk drivers, ensuring areas of engagement are utilised in the company’s risk management activities across various markets. The team’s output forms the information basis for strategic planning, model risk management and broader activities., which enables effective decision making to satisfy business needs and regulatory requirements
Role & Responsibilities
Support various analytical and highly quantitative projects.
Provide best-in-class Analytics solutions to the Regulatory Compliance (RC) function.
Monitor transactional activity and generate automated alerts for activities that may be unusual and non-compliant with regulatory requirements.
Design, deploy, monitor and maintain models in various scenarios for various market conduct surveillance activities
Support RC teams globally with analytical solutions.
Manage regulatory compliance.
Increase efficiency and operational effectiveness through models, scorecards and data attestation frameworks
Experience & Skills Required
Have a Post Graduate qualifications (PhD in Physics, Engineering, Applied Mathematics, Statistics, Econometrics, or any other relevant quantitative discipline);
Several years’ post-qualification experience in relevant Analytics field.
Knowledge and understanding of financial services advantageous.
Possess strong knowledge of Big Data stack such as Hadoop or Hortonworks, NoSQL (Elastic, MongoDB, HBase, Cassandra), Data ingestion tools (Flume, Kafka, Spark, Sqoop, Storm)
Demonstrate strong experience in any of the following: Matlab, Python, R with relevant ML libraries.
Sound knowledge of statistical and numerical techniques.
Project based business knowledge, and awareness of model risk governance;
Be able to develop solutions using various analytical techniques (specifically Machine Learning (ML).
Engage with various stakeholders within the wider function and provide technical (ML) leadership.
Gather business requirements from senior stakeholder and translate their business brief into technical solution design
Develop product backlog in consultation with senior data scientists
Design predictive analytics strategies and models.
Complete analysis as required
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This organisation is a very successful player in the insurance business with success continuing year after year. They feel this success is borne through innovation, business partnerships and customer satisfaction, stay abreast of the latest developments and are mindful of the way consumers shop for insurance products. The successful candidate will receive a competitive remuneration package together with ongoing support, training and development
Role & Responsibilities
Deliver insight that supports the pricing and business strategy.
Support key data & modelling projects.
Undertake ad hoc analytical tasks to ensure timely, accurate and actionable analysis.
Assist in the documentation, refinement and implementation of value and optimisation models.
Facilitate delivery of the team strategy and analytical roadmap.
Develop new reports/dashboards that support Trading.
Build strong cross-functional relationships.
Experience & Skills Required
Educated to Bachelor’s degree or equivalent in relevant area i.e. Mathematics, Economics, Engineering or Computer Science.
Experienced working with large datasets
A coding background would be advantageous.
Develop working knowledge of modelling software and analytical techniques
Have proven track record of managing multiple tasks.
Be naturally inquisitive with a passion for data.
Be confident to explore, test and challenge the status quo.
Possess the ability to communicate information clearly and concisely to varied and sometimes non-technical audiences.
Extensive experience working with large datasets, preferably from within the insurance industry.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

19/12/2018

Full time

This organisation is a very successful player in the insurance business with success continuing year after year. They feel this success is borne through innovation, business partnerships and customer satisfaction, stay abreast of the latest developments and are mindful of the way consumers shop for insurance products. The successful candidate will receive a competitive remuneration package together with ongoing support, training and development
Role & Responsibilities
Deliver insight that supports the pricing and business strategy.
Support key data & modelling projects.
Undertake ad hoc analytical tasks to ensure timely, accurate and actionable analysis.
Assist in the documentation, refinement and implementation of value and optimisation models.
Facilitate delivery of the team strategy and analytical roadmap.
Develop new reports/dashboards that support Trading.
Build strong cross-functional relationships.
Experience & Skills Required
Educated to Bachelor’s degree or equivalent in relevant area i.e. Mathematics, Economics, Engineering or Computer Science.
Experienced working with large datasets
A coding background would be advantageous.
Develop working knowledge of modelling software and analytical techniques
Have proven track record of managing multiple tasks.
Be naturally inquisitive with a passion for data.
Be confident to explore, test and challenge the status quo.
Possess the ability to communicate information clearly and concisely to varied and sometimes non-technical audiences.
Extensive experience working with large datasets, preferably from within the insurance industry.
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

This Financial Institution is offering a great career path where you will be valued for the contributions you make whilst discovering how diversity drives success. The team actively involved in designing end-to-end predictive analytics solutions, develop data platforms and build Machine Learning models.
Role & Responsibilities
Participate in projects leading to end-to-end solutions for Market Conduct predictive analytics activities
Work closely with Data Scientists for development of predictive analytics tools.
Create ETL script for sourcing and connecting data
Design, construct, test, install and maintain highly scalable data management systems e.g., Big data, Spark, etc
Create Data Platform for Advanced Analytics teams to enable them in creating of end-to-end automation and AI capabilities
Integrate new data management technologies and software engineering tools into existing structures
Lead projects and initiatives including supervision and mentoring of team members
Experience & Skills Required
Possess a Post Graduate qualifications (quantitative MSc / PhD) in Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline;
Several years of post-qualification experience of working in relevant Analytics field. Knowledge and understanding of financial services advantageous.
Demonstrate ETL scripting experience for Hadoop-based technologies (e.g. MapReduce, Hive and Pig), SQL-based technologies (e.g. PostgreSQL and MySQL), NoSQL technologies (e.g. Cassandra and MongoDB), Data modeling tools (e.g. ERWin, Enterprise Architect and Visio), Data warehousing solutions, Predictive modeling, NLP and text analysis, Machine learning, Data mining, UNIX, Linux, Solaris and MS Windows
Strong experience in any of the following: Python, C/C++ Java, Perl, MatLab, SAS, R relevant data visualisation tools essential.
Have project based business knowledge, and awareness of model risk governance;
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

19/12/2018

Full time

This Financial Institution is offering a great career path where you will be valued for the contributions you make whilst discovering how diversity drives success. The team actively involved in designing end-to-end predictive analytics solutions, develop data platforms and build Machine Learning models.
Role & Responsibilities
Participate in projects leading to end-to-end solutions for Market Conduct predictive analytics activities
Work closely with Data Scientists for development of predictive analytics tools.
Create ETL script for sourcing and connecting data
Design, construct, test, install and maintain highly scalable data management systems e.g., Big data, Spark, etc
Create Data Platform for Advanced Analytics teams to enable them in creating of end-to-end automation and AI capabilities
Integrate new data management technologies and software engineering tools into existing structures
Lead projects and initiatives including supervision and mentoring of team members
Experience & Skills Required
Possess a Post Graduate qualifications (quantitative MSc / PhD) in Statistics, Applied Mathematics, Econometrics, Electronic Engineering or any other relevant quantitative discipline;
Several years of post-qualification experience of working in relevant Analytics field. Knowledge and understanding of financial services advantageous.
Demonstrate ETL scripting experience for Hadoop-based technologies (e.g. MapReduce, Hive and Pig), SQL-based technologies (e.g. PostgreSQL and MySQL), NoSQL technologies (e.g. Cassandra and MongoDB), Data modeling tools (e.g. ERWin, Enterprise Architect and Visio), Data warehousing solutions, Predictive modeling, NLP and text analysis, Machine learning, Data mining, UNIX, Linux, Solaris and MS Windows
Strong experience in any of the following: Python, C/C++ Java, Perl, MatLab, SAS, R relevant data visualisation tools essential.
Have project based business knowledge, and awareness of model risk governance;
If you fit the above job description, please contact Teresa Cheeseman on 01256 314 660 or email her on teresa.cheeseman@datatech.org.uk. Please be advised that we can only accept candidates who have the right to work in the UK.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.